Actuarial Intern

Gen Re Corporation
Stamford, Connecticut, United StatesPosted Sep 1, 2026
Finance / Investment BankingSummer 2027

About the role

Shape Your Future With Us General Re Corporation, a subsidiary of Berkshire Hathaway Inc., is a holding company for global reinsurance and related operations, with more than 2,000 employees worldwide. It owns General Reinsurance Corporation and General Reinsurance AG, which conducts business as Gen Re. Gen Re delivers reinsurance solutions to the Life/Health and Property/Casualty insurance industries. Represented in all major reinsurance markets through a network of 38 offices, we have earned superior financial strength ratings from each of the major rating agencies. General Re Life Corporation (GRL), a Berkshire Hathaway Company, is offering an excellent summer 2027 opportunity for Actuarial Interns within our Life Actuarial team. This role will be performed remotely. Role Description The Intern will be exposed to an array of the following: Challenging assignments with practical, on-the-job experience These assignments may include projects from multiple actuarial departments including pricing, valuation, and data analysis Weekly meetings with professionals from different areas in the company Lunch and Learns with all interns in the program Opportunity to present to an actuarial audience Work is done in a team environment, which utilizes the experience and knowledge of all team members. These exposures and projects will provide the Intern with an understanding of the dynamics of a corporate team and its environment. Role Qualifications and Experience Working towards a Bachelor’s degree with an accredited college or university (preferred in junior year with majors in Actuarial Science or Mathematics) Strong written and oral communication and strong interpersonal skills Analytically minded Passage of one or more Society of Actuaries’ exams Organizational ability and attention to detail Interpersonal/critical-thinking skills Capacity to work in a team environment Prefer knowledge of statistical modeling packages, programming languages, and spreadsheets/databases Salary

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